TY - GEN
T1 - Control Strategy of Flywheel Energy Storage Machine-Side Converter Based on Fuzzy Reasoning and Sliding Mode Control
AU - Wang, Shiqi
AU - Liu, Guangchen
AU - Zhang, Jianwei
AU - Tian, Guizhen
AU - Wang, Fangsheng
AU - Jing, Lili
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Installing a certain capacity of flywheel energy storage system (FESS) at the grid connection of wind farms can effectively smooth the grid-connected power and improve the grid friendliness of wind farms. With the traditional control method, the FESS power response speed is slow and the flywheel speed is easy to exceed the limit. Considering these issues, this paper proposes a control strategy for the FESS machine-side converter based on fuzzy reasoning and sliding mode control (SMC). Based on the actual output power of wind farms, the expected grid-connected power and flywheel speed, the correction coefficient is obtained by fuzzy reasoning to correct the reference value of flywheel power in real time. The corrected power reference value is used as the input of the designed SMC to realize the power control of FESS. The simulation results show that the control strategy proposed in this paper can achieve the purpose of smoothing the grid-connected power of wind farms with good dynamic response characteristics, and the flywheel speed does not cross the limit during the smoothing process.
AB - Installing a certain capacity of flywheel energy storage system (FESS) at the grid connection of wind farms can effectively smooth the grid-connected power and improve the grid friendliness of wind farms. With the traditional control method, the FESS power response speed is slow and the flywheel speed is easy to exceed the limit. Considering these issues, this paper proposes a control strategy for the FESS machine-side converter based on fuzzy reasoning and sliding mode control (SMC). Based on the actual output power of wind farms, the expected grid-connected power and flywheel speed, the correction coefficient is obtained by fuzzy reasoning to correct the reference value of flywheel power in real time. The corrected power reference value is used as the input of the designed SMC to realize the power control of FESS. The simulation results show that the control strategy proposed in this paper can achieve the purpose of smoothing the grid-connected power of wind farms with good dynamic response characteristics, and the flywheel speed does not cross the limit during the smoothing process.
KW - flywheel energy storage
KW - fuzzy control
KW - sliding mode control
KW - wind power
UR - https://www.scopus.com/pages/publications/85141442857
U2 - 10.1109/ICPET55165.2022.9918513
DO - 10.1109/ICPET55165.2022.9918513
M3 - Conference contribution
AN - SCOPUS:85141442857
T3 - 2022 4th International Conference on Power and Energy Technology, ICPET 2022
SP - 1023
EP - 1029
BT - 2022 4th International Conference on Power and Energy Technology, ICPET 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Power and Energy Technology, ICPET 2022
Y2 - 28 July 2022 through 31 July 2022
ER -